Embedded vision da Machine Vision: Babban Bakwai Suna Kuna Zaka Iya Fimmawa
Kuma yadda aiki na duniya 'yanan? An bani da kewaye suna haka sabon harshe. A matsayin, wannan ya gabatar da rubutuwa na fasalinaiwa da rubutuwa na aiki. Wannan biyu shirin jama'a ne kan sha'awa, da kekewar manyan mutane suna zambon da wannan biyu.
Rubutuwa na aiki da rubutuwa na fasalinaiwa suna iyalci tsariro a cikin aiki, kuma a cikin rubutun da automation. Rubutun fasalinaiwa suke samun wataƙasa, kuma rubutuwa na aiki suke samun bayanin da amfani. Daga wannan rubutuwan fasalinaiwa ya fi sani mai amfani da rubutuwa na aiki. Rubutun fasalinaiwa suka yi amfani da komputa da rubutuwa na aiki (dabba'in fayil, amfani, da tafwace). Kuna rubutun fasalinaiwa ba za'a iya yi amfani da shugaban karkashin, suka iya amfani a kasar da makarantun nan rubutuwa na aiki ba za'a iya amfani.
Yadda ne rubutuwa na aiki?
Za'a rana kula yana ba daidai a cikin rubutu ko kompyuta don shigar da taimaka wani makama. An bata za'a ikinci teknoloji amfani, kuma yana gabatarwa daga systemai ne ke nuna wani makama daya ta idon gudanar rubutu. Yana abin daidai don samun, biyan gaɗai da taimaka wanda suna suka yi a cikin al'umma don labari da fatanin hanyar mai tsarin masu aiki, misali ya halifayyaye, sabon gida a cikin aiki, da idon gudanar abubuwan. A rubutun na farko suna samun wannan, lallafin zuwa rana kula .
Systemai na rana kula suna iya samun PC na industry don samun kasancewarwa a cikin rubutu na imaji. Hardware na farko da software an samun samun bayyana na imaji da aka samun rubutu na farko don samun kasancewarwa a cikin rubutu na farko. Systemai na rana kula suna gabatarwa wannan:
- Kamera: domin kamar kamara na industry . Iya samun imaji ko video clip don biyan gaɗai da aka yi a cikin systemai na farko.
- saiwata jihar mai samfura: Babu daga kamana daidaita kamera a cikin samfara, ya so software mai amfani shi a samfarar watsa na fayilwa da saiwata.
- Tsanfiri: Tsohuwar tsanfiri ya yi aiki daga wannan, kuma ya so amfani da tsarin tsanfiri toon LED ko tsari na infrared don bayyana hanyar watsa.
- Inƙirai: Saimakon samfara za'a iya samun rubutu da ya yi aiki daga wannan a samfarar saiwata ta tare da amfani da frame grabbers ko processors mai amfani.
Menene Ƙaddamarwa Vision?
Saimakon samfara na embedded yana gabatarwa da saimakon samfara na tradishanal a kan suna da wani da ke samfara suka yi. hade hangen nesa saimakon suka ne mai aikin gudanarwa, kuma ya kasance binciken kamera ga image processor. Kuna fara da wannan, watsa na fayilwa da saiwata ya kamata a cikin device mai hakuri.
An yi systema vision na duniya da kai, da costar na cikakken, a cikin yadda ake samun bayan. An shiga da suka amfani da suwa a lokaci ne yanzu, mai tsaye masu wanda space ya kamata, misali ta farawa ba haɗi ba aiki na object recognition a cikin drones, embedded vision ya gabatar da abin da aka yi aiki gaba-gaban nan, kuma ya fiye wannan riga na machine vision.
Systema vision na duniya ya saninsu suna aiki da integratuna daidai kamar machine vision na zamanin, kama ya kamata suka biyu daidai da costar na install kamar machine vision tare da wannan properties na customization. Kamar, compactness na su kuma da power consumption na suka samun bayan ya magana suka daidai daidai che aiki.
Kadai, embedded vision ya kamata yayinƙe aiki na machine vision, kamar wane ya kamata wannan rubutu na functions da applications. A cikin teknoloji na yanzu, performance na embedded vision system ya kamata wannan rubutu na PC-based systems.
Rubutu na embedded vision da machine vision
Kawai kuma daga cikin riga wata da rubutu mai shirya yana iya ci gaba ake suna,ake wannan ne ya kasance su.
Paramita |
Rubutu mai shirya |
hade hangen nesa |
Sanya mai watsa |
An yi shi tare da PC jiharƙwar daidai an sani da rubutun mai shirya |
An samfafa masu samar da (misali NVIDIA Jetson, TI Jacinto, NXP, daga cikin akwatin) |
Sanya mai watsa |
Sanya mai watsa na PC |
An samfafa edge computing da AI/ML/ rubutu mai shirya algoritmasu a matsayin dai dai. |
Tsaki |
An ga wannan domin da rubutun mai shirya na kamiran da PC jiharƙwar daidai, kuma mutane a cikin hikima ko kusar. |
An ga wannan domin compact. Rakin ba'a ana soya, kama ai ruwa AI maras compact processor families, misali NXP i.MX. |
Farashi |
Kana jajin cikakken da ke shiddanar kusugu a cikin wannan, mai tsarin masu rubutu, PCS, da software za'a sosai amfani da subscription to cloud-based analytics |
Wannan suna ke tabbatar daidai cikakken as ba haɗi suna kasanceƙe cikakken sabon gudanar. Maisa, ga raba'in masu rubutu da processor ta fiye, kasanceƙen bayan capital wallahi ya kamata abu |
An yi daga gabatarwa |
Ya kawo daga gabatarwa, da interface standard daya an yi connection zuwa PC don operation immediate |
An samfuna rubutun engineering don yi daga gabatarwa, wanda ya zama da application da complexity talakafta masu rubutu ta fiye. An yi daga rubutun camera ya samfuna suka iya amfani da experts rubutun, misali TechNexion |
Sune na fara hankali |
An samfuna hardware da software saboda yanzu a cikin fasalin data da analysis. |
Wannan ya kawo domin fara hankali na sabon watan, mai aiki da processing ya bache a device da data ya zama analysis a cloud without need for Settings specialized |
JIRGIN KASA |
Duniya, a ce yanzu da rubutunin na tsarinwa, alamannan vision system za'a iya yi amfani da aka samun daga cikin wata takalaraiwa |
Yi design don takalarai ne. Kusar optics, sensors, processors, da rubutunin analysis ya bincika, ya saita, da ya cost optimize don takalarai ne |
Kammalawa
Ga cikin hanyar shirye, kuma masu computing power dai dai ya kan fit daidai ga cikin wadannan space, alamannan machine learning ya iya yi amfani da PCs dai dai, kuma wadannan processors na embedded vision devices ya kan powerful dai dai. Don gaba, wadannan difference dai dai ga cikin traditional machine vision da embedded vision ya kan kasance dai dai. A matsayin, masu processing power dai dai ga cikin processors na embedded vision systems ya ne comparable don alamannan machine learning ta cikin hanyar shirye
Sinoseen suna mai gabatarwa 14 saduwar experience don embedded vision, da team professional, idan ka wante custom camera module professional karkashin don application na embedded vision, zaka iya sona sona contact amin
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